Share Email Print
cover

Proceedings Paper

Automatic calibration and removal of distortion from scenes of structured environments
Author(s): Frederic Devernay; Olivier D. Faugeras
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Most algorithms in 3D computer vision rely on the pinhole camera model because of its simplicity, whereas video optics, especially low-cost wide-angle lens, generate a lot of nonlinear distortion which can be critical. To find the distortion parameters of a camera, we use the following fundamental property: a camera follows the pinhole model if and only if the projection of every line in space onto the camera is a line. Consequently, if we find the transformation on the video image so that every line in space is viewed in the transformed image as a line, then we know how to remove the distortion from the image. The algorithm consists of first doing edge extraction on a possibly distorted video sequence, then doing polygonal approximation with a large tolerance on these edges to extract possible lines from the sequence, and then finding the parameters of our distortion model that best transform these edges to segments. Results are presented on real video images, compared with distortion calibration obtained by a full camera calibration method which uses a calibration grid.

Paper Details

Date Published: 1 September 1995
PDF: 11 pages
Proc. SPIE 2567, Investigative and Trial Image Processing, (1 September 1995); doi: 10.1117/12.218487
Show Author Affiliations
Frederic Devernay, INRIA/Sophia Antipolis (France)
Olivier D. Faugeras, INRIA/Sophia Antipolis (France)


Published in SPIE Proceedings Vol. 2567:
Investigative and Trial Image Processing
Leonid I. Rudin; Simon K. Bramble, Editor(s)

© SPIE. Terms of Use
Back to Top